- “‘In a recent Northeastern University and Gallup survey that found 71 percent of Americans feared the surge in AI would cause more job loss than gain.’
- Computer scientist John McCarthy coined the phrase “artificial intelligence” in 1956,
Algorithms
Algorithms are mathematical formulas that amount to a set of processing instructions — akin to a recipe — that aim to solve a specific problem.
Machine learning
Finds patterns in a large amount of data. Machine learning comes in three forms: supervised, unsupervised and reinforcement learning.
Deep learning
Utilizes a web of computation models called “neural networks” that are designed to mimic human brains.
Natural language processing
NLP technology uses machine-learning algorithms that tag parts of speech and the relationships between words to analyze the meaning in text and audio.
Deepfake technology
Uses deep learning models to manipulate photos and videos to create realistic images of people doing or saying something they never did
- Predictions are all over the map about whether technology will usher in new work to offset the loss of jobs to artificial intelligence in upcoming years.
- A recent Oxford Economics report that found 20 million manufacturing jobs will be lost by 2030
- On more positive note, a 2018 report from World Economic Forum — a nonprofit composed of the world’s 1,000 top companies — predicts that while 75 million jobs will be displaced by automation, it will generate 133 million new roles
- A growing number of AI experts and politicians agree that the advancements in AI have outpaced government regulation.
- Although the next stop remains unknown, the AI train isn’t stopping anytime soon. As World Economic Forum Founder and Executive Chairman Klaus Schwab aptly summarized the Fourth Industrial Revolution, ‘There has never been a time of greater promise or greater peril.'”